Single-trial lie detection using a combined fNIRS-polygraph system.
Single-trial lie detection using a combined fNIRS-polygraph system.
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DOI：
10.3389/fpsyg.2015.00709
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发表时间：
2015
影响因子：
3.8
通讯作者：
Hong KS
中科院分区：
文献类型：
--
作者：
Bhutta MR;Hong MJ;Kim YH;Hong KS
欺骗是许多人在日常生活中都会经历的一种人类行为。除了身体的一些生理变化外，它还涉及复杂的神经元活动。测谎仪可以测量身体的一些生理反应，已被广泛用于测谎。然而，许多研究人员认为，如果欺骗过程中发生的神经元变化可以被分离和测量，那么测谎就可以变得更加精确。在这项研究中，我们结合了两种测量方法（即生理和神经元变化）来增强测谎能力。具体来说，为了研究欺骗相关的血流动力学反应，除了商用测谎仪系统外，还在前额叶皮层应用了功能性近红外光谱（fNIRS）。模拟犯罪场景与单一审判刺激设置作为欺骗协议。根据基于fnir的血红蛋白浓度变化和基于测谎仪的生理信号变化，将采集到的数据分为“真实”和“谎言”两类。使用线性判别分析作为分类器。结果表明，fnirs -测谎系统的分类准确率明显高于单一系统。本研究通过fNIRS和测谎仪的结合，为单次测谎提供了一个可行的解决方案。
Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities in addition to several physiological changes in the body. A polygraph, which can measure some of the physiological responses from the body, has been widely employed in lie-detection. Many researchers, however, believe that lie detection can become more precise if the neuronal changes that occur in the process of deception can be isolated and measured. In this study, we combine both measures (i.e., physiological and neuronal changes) for enhanced lie-detection. Specifically, to investigate the deception-related hemodynamic response, functional near-infrared spectroscopy (fNIRS) is applied at the prefrontal cortex besides a commercially available polygraph system. A mock crime scenario with a single-trial stimulus is set up as a deception protocol. The acquired data are classified into “true” and “lie” classes based on the fNIRS-based hemoglobin-concentration changes and polygraph-based physiological signal changes. Linear discriminant analysis is utilized as a classifier. The results indicate that the combined fNIRS-polygraph system delivers much higher classification accuracy than that of a singular system. This study demonstrates a plausible solution toward single-trial lie-detection by combining fNIRS and the polygraph.
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